School of Engineering
Showing 2,851-2,900 of 5,933 Results
-
Sang-Won Lee
Postdoctoral Scholar, Chemical Engineering
BioGoogle scholar profile_https://scholar.google.com/citations?authuser=1&user=MMIaMDkAAAAJ
Linked in profile_https://www.linkedin.com/in/%E2%80%8Dsang-won-lee-918495226/ -
Sangjoon Lee
Postdoctoral Scholar, Aeronautics and Astronautics
BioSangjoon "Joon" Lee is a postdoctoral scholar at the Department of Aeronautics and Astronautics. He was a CTR Fellowship recipient at the Center for Turbulence Research (CTR) from October 2024 to December 2025. He earned his Ph.D. in Mechanical Engineering with a Designated Emphasis in Computational and Data Science and Engineering from the University of California, Berkeley. His expertise is grounded in fluid mechanics and computational science, covering areas such as computational fluid dynamics (CFD), heat transfer analyses, vortex/turbulence physics and instabilities, numerical algorithms, and data-driven hydro-/aerodynamic design optimization.
-
Thomas Lee
Professor of Electrical Engineering
BioProfessor Lee's principal areas of professional interest include analog circuitry of all types, ranging from low-level DC instrumentation to high-speed RF communications systems. His present research focus is on CMOS RF integrated circuit design, and on extending operation into the terahertz realm.
-
Tonghun Lee
Professor of Aeronautics and Astronautics
BioProfessor Lee's research group is focused on investigating the fundamental physics relevant to next generation aerospace propulsion systems and space entry technologies. Areas of interest include hypersonic propulsion systems, hybrid chemical and electrical propulsion systems, compact UAV propulsion technologies, integration of sustainable aviation fuels, and application of advanced laser & optical diagnostics. His work aims to improve fundamental understanding of high-speed reacting flows while advancing technologies for more efficient and environmentally responsible aerospace systems.
-
Yuan-Mau Lee
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2023
BioYuan-Mau (Leo) Lee is a Ph.D. student in the Department of Materials Science and Engineering at Stanford University, advised by Prof. Eric Pop. He received his B.S. in Materials Science and Engineering from National Tsing-Hua University in 2022. His research focuses on 2D semiconductors, advanced circuit technology, and their applications.
-
Larry John Leifer
Professor of Mechanical Engineering, Emeritus
Current Research and Scholarly InterestsOur "designXlab" at the Stanford Center for Design Research (CDR) has long (30+ years) been focused on Engineering Design Team dynamics at global collaboration scale working with corporate partners in my graduate course ME310ABC. In our most recent studies we have added Neuroscience visualization of brain activity using fMRI and fNIRS. In doing so we have launched "NeuroDesign" as a professional discipline.
-
Sanjiva Lele
Edward C. Wells Professor of the School of Engineering and Professor of Mechanical Engineering
BioProfessor Lele's research combines numerical simulations with modeling to study fundamental unsteady flow phemonema, turbulence, flow instabilities, and flow-generated sound. Recent projects include shock-turbulent boundary layer interactions, supersonic jet noise, wind turbine aeroacoustics, wind farm modeling, aircraft contrails, multi-material mixing and multi-phase flows involving cavitation. He is also interested in developing high-fidelity computational methods for engineering applications.
-
Michael Lepech
C. L. Peck, Class of 1906, Professor and Senior Fellow at the Woods Institute for the Environment
BioUnsustainable energy and material consumption, waste production, and emissions are some of today’s most pressing global concerns. To address these concerns, civil engineers are now designing facilities that, for example, passively generate power, reuse waste, and are carbon neutral. These designs are based foremost on longstanding engineering theory. Yet woven within this basic knowledge must be new science and new technologies, which advance the field of civil engineering to the forefront of sustainability-focused design.
My research develops fundamental engineering design concepts, models, and tools that are tightly integrated with quantitative sustainability assessment and service life modeling across length scales, from material scales to system scales, and throughout the early design, project engineering, construction, and operation life cycle phases of constructed facilities. My research follows the Sustainable Integrated Materials, Structures, Systems (SIMSS) framework. SIMSS is a tool to guide the multi-scale design of sustainable built environments, including multi-physics modeling informed by infrastructure sensing data and computational learning and feedback algorithms to support advanced digital-twinning of engineered systems. Thus, my research applies SIMMS through two complementary research thrusts; (1) developing high-fidelity quantitative sustainability assessment methods that enable civil engineers to quickly and probabilistically measure sustainability indicators, and (2) creating multi-scale, fundamental engineering tools that integrate with sustainability assessment and facilitate setting and meeting sustainability targets throughout the life cycle of constructed facilities.
Most recently, my research forms the foundation of the newly created Stanford Center at the Incheon Global Campus (SCIGC) in South Korea, a university-wide research center examining the potential for smart city technologies to enhance the sustainability of urban areas. Located in the smart city of Songdo, Incheon, South Korea, SCIGC is a unique global platform to (i) advance research on the multi-scale design, construction, and operation of sustainable built environments, (ii) demonstrate to cities worldwide the scalable opportunities for new urban technologies (e.g., dense urban sensing networks, dynamic traffic management, autonomous vehicles), and (iii) improve the sustainability and innovative capacity of increasingly smarter cities globally.
With an engineering background in civil and environmental engineering and material science (BSE, MSE, PhD), and business training in strategy and finance (MBA), I continue to explore to the intersection of entrepreneurship education, innovation capital training, and the potential of startups to more rapidly transfer and scale technologies to solve some of the world's most challenging problems. -
Marly LeSene
Program Director, Communications & Initiatives, Bioengineering
Current Role at StanfordProgram Director, Communications & Initiatives
-
Jure Leskovec
Alfred and Rebecca Lin Professor
BioJure Leskovec is Professor of Computer Science at Stanford University. He is affiliated with the Stanford AI Lab, Machine Learning Group and the Center for Research on Foundation Models. In the past, he served as a Chief Scientist at Pinterest and was an investigator at Chan Zuckerberg BioHub. Leskovec recently pioneered the field of Graph Neural Networks and co-authored PyG, the most widely-used graph neural network library. Research from his group has been used by many countries to fight COVID-19 pandemic, and has been incorporated into products at Facebook, Pinterest, Uber, YouTube, Amazon, and more.
His research received several awards including Microsoft Research Faculty Fellowship in 2011, Okawa Research award in 2012, Alfred P. Sloan Fellowship in 2012, Lagrange Prize in 2015, and ICDM Research Contributions Award in 2019. His research contributions have spanned social networks, data mining and machine learning, and computational biomedicine with the focus on drug discovery. His work has won 12 best paper awards and 5 10-year test of time awards at a premier venues in these research areas.
Leskovec received his bachelor's degree in computer science from University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University. -
Jerker Lessing
Adjunct Professor, Civil and Environmental Engineering
BioI earned my PhD at Lund University, Sweden, focused on strategic aspects of industrialized construction. I am the CEO and founder of Lessing Innovation, an advisory and consultancy firm within construction industrialization, innovation and sustainability. Between 2015-2023 I had the role as Director of Research & Development at BoKlok, Sweden’s leading housing company within industrialized construction. Before joining BoKlok, I worked for one of Sweden's leading engineering firms, Tyréns AB, where I led a team of Consultants focusing on Construction innovation. I was also engaged by leading Construction and housing companies as a consultant and advisor for numerous innovation- and development projects aimed at industrialized construction.
I am frequently engaged as a lecturer and moderator in both academia and industry, have co-authored a book about industrialized construction and I publish research in international Journals.
I have been a visiting researcher and lecturer at Stanford University since 2013 and since 2017 I am adjunct Professor here. At Stanford I have established and taught the course CEE324 Industrialized Construction, organized study trips for Stanford students and faculty to Sweden, as well as organized the Industrialized Construction Forum which is a industry-academia conference, held annually.
In my research I developed a framework describing contemporary industrialized construction, which has served as a foundation for academic research, as well as a guide for the industry’s development, in Sweden and internationally. -
Marc Levenston
Associate Professor of Mechanical Engineering and, by courtesy, of Radiology (Radiological Sciences Laboratory)
Current Research and Scholarly InterestsMy lab's research involves the function, degeneration and repair of musculoskeletal soft tissues, with a focus on meniscal fibrocartilage and articular cartilage. We are particularly interested in the complex interactions between biophysical and biochemical cues in controlling cell behavior, the roles of these interactions in degenerative conditions such as osteoarthritis, and development of tissue engineered 3D model systems for studying physical influences on primary and progenitor cells.
